This will identify all the characters in between html tags irrespective of the length of the character or intiger. If scenario emerges to extract content between tags a replacement string can be used: $3

\b ?(a|A)ppoint(s|ing|ment(s)?|ed)?| ?(J|j)oin(s|ed|ing)| ?(R)?recruit(s|ed|ing(s)?)?| (H|h)(is|er)(on)? dut(y|ies)?| ?(R)?replace(s|d|ment)?| (H)?hire(s|d)?| ?(P|p)romot(ed|es|e|ing)?| ?(D|d)esignate(s|d)| (N)?names(d)?| (his|her)? (P|p)osition(ed|s)?| re(-)?join(ed|s)|(M|m)anagement Changes|(E|e)xecutive (C|c)hanges| reassumes position| has appointed| appointment of| was promoted to| has announced changes to| will be headed| will succeed| has succeeded| to name| has named| was promoted to| has hired| bec(a|o)me(s)?| (to|will) become| reassumes position| has been elevated| assumes the additional (role|responsibilit(ies|y))| has been elected| transferred| has been given the additional| in a short while| stepp(ed|ing) down| left the company| (has)? moved| (has)? retired| (has|he|she)? resign(s|ing|ed)| (D|d)eceased| ?(T|t)erminat(ed|s|ing)| ?(F|f)ire(s|d|ing)| left abruptly| stopped working| indict(ed|s)| in a short while| (has)? notified| will leave| left the| agreed to leave| (has been|has)? elected| resignation(s)?

Description

This regex is really helpful if you are trying to find out executive moves. For instance you have 100 docs with company details but you need to find out the newly joined executives and resigned executives, you can do it with this.

Replaces the space character with an underscore, this regex replacement will be useful if you have change the naming convention for DB field names. The replacement string will be: $1_$3 (you can opt anything instead of "_" in the replacement string for instance, $1-$2

This RE recognizes unformatted US phone numbers. The replacement string is $2-$4-$6. Helps when you want to normalize the phone numbers in a DB field.This also identifies a single space given before are after the part of first, second 3 digits and before the last 4 digits. The replaced format will be "123-456-7890"

This RE will be very useful if you want to eliminate non-alpha\numeric containing lines. For example, you have 10000 records in a DB field and you need to identify and eliminate fully unwanted character containing lines, this will help you.